38 lines
1.2 KiB
Plaintext
38 lines
1.2 KiB
Plaintext
pipeline {
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agent {
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docker { image 's444507_create_dataset_image' }
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}
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parameters {
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buildSelector(
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defaultSelector: lastSuccessful(),
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description: 'Which build to use for copying artifacts for predict',
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name: 'BUILD_SELECTOR')
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string(
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defaultValue: '{\\"inputs\\": [[0.51, 0.86], [0.79, 0.79], [0.74, 0.77], [0.66, 0.73]]}',
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description: 'Input file',
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name: 'INPUT',
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trim: true
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)
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}
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stages {
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stage('Copy arifacts') {
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steps {
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copyArtifacts projectName: 's444356-training/master', selector: buildParameter('BUILD_SELECTOR')
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sh "echo ${params.INPUT} > input_example.json"
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}
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}
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stage('Run prediction on model') {
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steps {
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sh "python3 lab08_predict.py"
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}
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}
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}
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post {
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success {
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archiveArtifacts artifacts: 'CarPrices_pytorch_model.pkl, mlruns/**, my_model/**', followSymlinks: false
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}
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always {
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emailext body: "${currentBuild.currentResult}", subject: 's444507-training', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
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}
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}
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} |